PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-12 10:22:08.241333+00:00 (UTC)
In US/Central Time, this is 2024-07-12 05:22:08.241333-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/40e0783a4127828ae61823438045bd4a14d10795e9e18efa25694b434674f8f8.png
We are just generating a random time serie here.
../_images/8af5bfee254ad9536d7ca47ec31676eb5d54dab3741537842c5f4bb5850603df.png
../_images/91db081de2cfe8810e7a61f36733edec12921cdc7987d1dbd8d1e5aa433f260e.png